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Relation between characteristic temperature and elution temperature in temperature programmed gas chromatography - Part II: Influence of column properties.
Brehmer, Tillman; Boeker, Peter; Wüst, Matthias; Leppert, Jan.
Afiliação
  • Brehmer T; University of Bonn, Institute of Nutritional and Food Sciences, Chair of Food Chemistry - Department Fast GC, Endenicher Allee 11-13, Bonn 53115, Germany. Electronic address: brehmer@uni-bonn.de.
  • Boeker P; University of Bonn, Institute of Nutritional and Food Sciences, Chair of Food Chemistry - Department Fast GC, Endenicher Allee 11-13, Bonn 53115, Germany; Hyperchrom GmbH Germany, Konrad-Zuse-Straße, Alfter 53347, Germany.
  • Wüst M; University of Bonn, Institute of Nutritional and Food Sciences, Chair of Food Chemistry - Department Fast GC, Endenicher Allee 11-13, Bonn 53115, Germany.
  • Leppert J; University of Bonn, Institute of Nutritional and Food Sciences, Chair of Food Chemistry - Department Fast GC, Endenicher Allee 11-13, Bonn 53115, Germany. Electronic address: jleppert@uni-bonn.de.
J Chromatogr A ; 1728: 464997, 2024 Aug 02.
Article em En | MEDLINE | ID: mdl-38821031
ABSTRACT
The method development process in gas chromatography can be accelerated by suitable computer simulation tools using knowledge about the solute-column interactions described by thermodynamic retention parameters. Since retention parameters usually are determined under isothermal conditions, the presented work offers a step to estimate one of the most important retention parameters, the characteristic temperature Tchar by less laborious temperature programmed measurements. In the first part an empirical multivariate model was introduced describing the correlation between the elution temperature Telu of a solute and its characteristic temperature Tchar. Now in the second part a simulation model of GC and available retention data from a retention database was used to investigate the correlation between Telu and Tchar for an expanded range of heating rates and initial temperatures. In addition to part I, the simulation is used to investigate the influences of different properties of the separation column such as different phase ratios and column geometries like length and diameter or various stationary phases including SLB-5 ms, SPB-50, Stabilwax, Rtx-Dioxin2, Rxi-17Sil MS, Rxi-5Sil MS, ZB-PAH-CT, DB-5 ms, Rxi-5 ms, Rtx5 and FS5ms. The fit model is valid for all investigated stationary phases. The influence of the phase ratio to the correlation could be determined. Therefore, the model was expanded to this parameter. The expanded range of heating rates and the normalization for the system independent dimensionless heating rate required a further modification of the previously presented correlation model. The model now fits also under isothermal conditions. The results were used for estimation of the Tchar of an analyte from the elution temperature in the temperature program. The prediction performance was investigated and evaluated for 20 different temperature program conditions and at two phase ratios (ß=125 and ß=250). Under best conditions the estimated and the measured Tchar values show relative differences <0.5 %. With this novel model estimations for Tchar are possible at 20 °C above the initial temperature, which expands the prediction range even for low and medium retained analytes compared to earlier approaches.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Temperatura Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Temperatura Idioma: En Ano de publicação: 2024 Tipo de documento: Article